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Tectonic Salesforce Integrations
25Mar

Digital Experience and Ecommerce Dictionary

Essential Ecommerce and Digital Experience Terminology The world of ecommerce and digital experiences is constantly evolving, bringing with it a steady stream of new buzzwords and concepts. While this list isn’t exhaustive, it serves as an excellent introduction to some of the latest trends and terminology shaping online shopping experiences. Accessibility Ensuring that web content is accessible across all devices is only part of the equation—compliance with international regulations is crucial to supporting individuals with disabilities. Here are key terms related to digital accessibility: Content Marketing Content marketing has evolved beyond catalogs and newsletters. It’s now an integral part of the shopping experience, helping customers discover and engage with brands in meaningful ways. Data-Driven Strategies Leading brands leverage data-driven ecommerce to deliver personalized, seamless shopping experiences. This ever-evolving space includes key concepts such as: Mobile Commerce Consumers expect to shop seamlessly across multiple devices. Mobile commerce trends ensure a smooth experience, no matter where they browse. Omnichannel Experiences Shoppers today expect a cohesive experience whether they shop online, on social media, or in-store. Here are key omnichannel concepts: Tech & Digital Experience Platforms To meet changing consumer expectations, retailers are adopting advanced technologies that streamline operations and enhance user experiences. Social Commerce Social commerce enables direct purchases through social media platforms, streamlining the shopping journey from discovery to checkout. Security & Privacy Data privacy is a growing concern among consumers. Here are key regulations shaping ecommerce security: Search Search functionality is crucial for delivering relevant results and optimizing user experience. Emerging trends include: Final Thoughts The ecommerce webscape is always changing, with new technologies and trends shaping the way consumers shop online. By staying abreast of these key terms, businesses can enhance customer experiences and remain competitive in the digital marketplace. Explore these topics further with our resources and insights! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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March 25, 2025in Data, Laws, Technology0 Comments
Marketing Cloud Engagement
18Mar

Salesforce Distributed Marketing Content

Salesforce Distributed Marketing Content empowers you to extend dynamic content to dispersed teams, fostering safe and efficient interaction with that content. Integrate one or more Distributed Marketing Content Blocks seamlessly with standard or custom content areas to facilitate collaborative moments within branded email messages. For instance, enable users to personalize holiday cards with personal notes and images or provide context to market update messages. Leverage Distributed Marketing alongside AMPscript to enable users to craft customized SMS messages. Salesforce Distributed Marketing Content While marketing teams retain control over message structure, ensuring coherence, brand alignment, and compliance, collaborative content augments this framework, granting distributed teams flexibility within set parameters – a concept Salesforce refers to as “flexibility within a framework.” The usage of Distributed Marketing content is flexible and can adapt over time. Since each message is independently configurable, you can initiate with existing assets and introduce collaborative elements as needed. Please note that Distributed Marketing employs JavaScript ES6 for message personalization, requiring the disabling of Prevent Cross-Site Tracking in Safari and third-party cookies in Chrome. Enable Email Personalization with Distributed Marketing Content Blocks Utilize Distributed Marketing Content Blocks within Marketing Cloud to create personalized sections of content for Distributed Marketing users. Enable Custom SMS Messages Incorporate AMPscript into SMS messages to empower users to compose and dispatch custom SMS messages through Distributed Marketing. Personalization Data Extension Distributed Marketing establishes personalization data extensions in Marketing Cloud to store user-entered personalization data for email messages. A personalization data extension is automatically generated when connecting a journey to a campaign or enabling a journey for quick send. Custom SMS messages are not stored here but are accessible in the journey’s event data extension. Legacy Personalization While Legacy Personalization options like Introduction, Conclusion, and Greeting are available, their usage will be supported until End of Support is announced. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 18, 2024in Data, Distributed Marketing, Salesforce
data cloud and marketing cloud personalization
30Mar

Data Cloud and Marketing Cloud Personalization

Choosing the correct Customer Data Platform (CDP) for your organization is crucial for adapting to challenges and capitalizing on opportunities in the evolving marketing technology landscape. While AI, behavioral patterns, and infrastructure play pivotal roles in this decision-making process, it’s essential to understand the landscape. However, the same factors, including AI, behavioral habits, and infrastructure, can influence this decision. Data Cloud and Marketing Cloud Personalization together capture and utilize customer data. Selecting the right tools makes it easier to know and cater to your prospects and customers. Without them, you are firing into the darkness. You must understand the necessary infrastructure for a marketing technology team to meet challenges and leverage new opportunities. It integrates four essential AdTech (Advertising Technology) principles applicable to MarTech in the evolving landscape. The external market poses challenges, notably the discontinuation of third-party cookies by major browsers like Google. This shift impacts prospecting and underscores the significance of first-party data. The rise of AI, exemplified by technologies like ChatGPT and integrated into platforms like Salesforce’s Einstein, further complicates the landscape. The AI era raises concerns about data usage and collection, employment risks, and the ethical consideratins. Organizations rush to incorporate AI, with Salesforce introducing Einstein GPT shortly after the emergence of ChatGPT. In this dynamic environment, organizations grapple with managing diverse data sources, implementing AI/ML, and ensuring privacy. AdTech principles become imperative in MarTech for effective targeting, personalization, and measurement. The focus shifts to the role of a Customer Data Platform (CDP) within the MarTech stack. Distinguishing between Data Management Platforms (DMPs), CDPs, Data Warehouses, and Data Lakes sets the stage. The article explores three CDP types: Enterprise, Event-Based, and Real-Time Personalization. The significance of a Customer Data Platform (CDP) like Salesforce’s Data Cloud cannot be stressed enough. Bear in mind there are differences between DMPs, CDPs, Data Warehouses, and Data Lakes, each with their own use cases. And for your situation a DMP, Data Warehouse, or Data Lake might be required. Salesforce’s CDP platform undergoes scrutiny, aligning its features with AdTech principles. Read more about Tectonic’s thoughts on Data Cloud here. The CDP’s contribution to targeting, personalization, and both deterministic and probabilistic measurement is detailed. Salesforce’s Data Cloud and Marketing Cloud Personalization (Interaction Studio) emerge as solutions catering to distinct needs. In conclusion we must underscore the criticality of choosing the right CDP for organizational resilience, superior customer experiences, and addressing privacy concerns. A robust infrastructure facilitates efficient data management, collaboration, and scalability, empowering organizations to make informed decisions with AI/ML and business intelligence. #data-cloud-and-marketing-cloud-personalization Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 30, 2023in Data, Enterprise, Google, Salesforce, Salesforce Data Cloud, Salesforce Marketing Cloud, Technology
First-Party vs. Third-Party Cookies
09Mar

First-Party vs. Third-Party Cookies

First-Party vs. Third-Party Cookies: Key Differences and Implications First-party and third-party cookies play distinct roles in the online experience, particularly in marketing and user engagement. While they share some similarities, their creation, functionality, and reputation differ significantly. What Are Cookies? Cookies are small data files stored on a user’s device to track activity and save information from a website visit. They enhance browsing by personalizing experiences—for example, saving login credentials, remembering preferences, or enabling targeted advertisements. When a user inputs their ZIP code to check the weather or adds items to a shopping cart, cookies store this information for future convenience. Cookies fall into two main categories: first-party and third-party. First-Party Cookies: The User-Friendly Helper First-party cookies are created by the website a user is actively visiting. They enhance the experience by tracking activities such as: These cookies are widely regarded as user-friendly because they focus on improving usability and personalization for the specific site being visited. Third-Party Cookies: The Advertising Workhorse Third-party cookies are set by domains other than the one a user is browsing. Often introduced via scripts or tags, these cookies are typically used for purposes such as: Unlike first-party cookies, third-party cookies have a reputation for being invasive. These persistent cookies remain on a device until deleted and can track users across multiple websites, enabling advertisers to deliver highly targeted campaigns. Do Second-Party Cookies Exist? Second-party cookies involve data-sharing partnerships between companies. For instance, an airline might share first-party data with a car rental service to promote offers to shared customers. While this collaboration facilitates personalized marketing, second-party cookies are more accurately described as shared first-party data rather than a distinct type of cookie. Key Differences Between First-Party and Third-Party Cookies Aspect First-Party Cookies Third-Party Cookies Created By The website a user is visiting External domains added via scripts or tags Purpose Improve user experience (e.g., preferences, login) Primarily used for advertising and tracking Reputation Positive due to usability benefits Often viewed negatively for privacy concerns The Future of Cookies: What’s Next? Growing privacy concerns and stricter regulations are driving changes in cookie usage. Many browsers, including Apple’s Safari and Mozilla’s Firefox, now block third-party cookies by default. Google Chrome has also committed to phasing out third-party cookies, with its Privacy Sandbox APIs offering more user control over tracking. As the reliance on third-party cookies wanes, advertisers and publishers are shifting toward alternative strategies, such as: Last Updated: July 2024 Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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March 9, 2022in Data, Google
Python Alongside Salesforce
17Jun

Salesforce and Python

Python is not essential for Salesforce, but it can be extremely useful for various tasks, such as data analysis, automation, and integration: Salesforce’s Primary Programming Languages Salesforce’s primary programming language is Apex, which is used for backend development. For the frontend, Visualforce is used to build the user interface. Apex is similar to Java and allows developers to embed business logic within system events. Automating Data Extraction for Analysis In many organizations, analysts often need to automate the process of extracting data from Salesforce objects to perform data analysis or build reports locally. Previously, analysts followed a manual and time-consuming process to create KPI reports, which included: This method was prone to errors and inefficiencies. Fortunately, Python scripts and Salesforce’s API can automate the entire process. Retrieving Salesforce Data Using Python To get started, install the Simple Salesforce package, an open-source Python library that enables easy interaction with Salesforce’s REST API. This allows users to either download pre-built reports directly from Salesforce or create custom datasets using SOQL (Salesforce Object Query Language). Set Up Your Python Package and API Access Accessing Salesforce Data There are two primary methods for retrieving Salesforce data into a Python DataFrame: Automating Data Processing and Reporting Once you have your data in a DataFrame, you can perform data wrangling and aggregation tasks. You can export the results to a Google Sheet using the Google Sheets API and the pygsheets package, or ingest the data into a database table. aFurthermore, you can schedule your Python script to run automatically using a tool like Apache Airflow, which will run the script at designated intervals, aggregate the data, and update dashboards with the latest information. This approach automates the entire reporting process, saving time and reducing the likelihood of errors in your workflow. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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June 17, 2021in Data, Google, Salesforce

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